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Iwaloye O, Ottu PO, Olawale F, Babalola OO, Elekofehinti OO, Kikiowo B, et al. Computer-aided drug design in anti-cancer drug discovery: What have we learnt and what is the way forward? Informatics in Medicine Unlocked [Internet]. 2023 [cited 2024 Jul 4]; 41: 101332. Available from: https:// linkinghub.elsevier.com/ retrieve/pii/S2352914823001788.

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Article

AI Integrated Theoretical/Organic Chemistry is Set to Revolutionize the Future of Education and De Novo Drug Discovery

1AGAR In Silico Drug Design Center, Department of Biochemistry, Faculty of Pharmacy, Kocaeli Health and Technology University, Izmit, Türkiye

2Coordination of Foreign Language, Okan University, Istanbul, Türkiye

3Department of Chemistry, Faculty of Science and Letters, Istanbul Technical University, Istanbul, Türkiye

4Rector of University, Former Dean of Faculty of Pharmacy, Kocaeli Health and Technology University, Izmit, Türkiye


World Journal of Chemical Education. 2024, Vol. 12 No. 4, 72-80
DOI: 10.12691/wjce-12-4-1
Copyright © 2024 Science and Education Publishing

Cite this paper:
Soykan Agar, Ilgaz Tokay, Barbaros Akkurt, Erkan Gokoluk, M. Berk Akbulut, Berin Damla Ozler, Muzaffer Elmas. AI Integrated Theoretical/Organic Chemistry is Set to Revolutionize the Future of Education and De Novo Drug Discovery. World Journal of Chemical Education. 2024; 12(4):72-80. doi: 10.12691/wjce-12-4-1.

Correspondence to: Soykan  Agar, AGAR In Silico Drug Design Center, Department of Biochemistry, Faculty of Pharmacy, Kocaeli Health and Technology University, Izmit, Türkiye. Email: soykan.agar@kocaelisaglik.edu.tr

Abstract

This article discusses the rapidly expanding artificial intelligence (AI) tools combined with theoretical and organic chemistry software to point out the fact that near future is being reborn with a new education system and research system in drug discovery. The integration of AI into the field of chemistry and pharmacy has expanded rapidly in recent years. There has been a significant surge in both journal articles and patents, particularly from 2015 onward. Analyzing the distribution of these publications across various pharmaceutical and chemical research domains reveal that theoretical chemistry, organic chemistry and biochemistry have embraced AI most extensively, showing the highest growth rates. Utilizing such new software tools in educational research centers and academia, students and scholars can learn and apply much more long-durational and larger techniques in shorter times to yield massive results for the sake of humankind’s future with no diseases. This new type of educational and research-oriented technique integrating the control and check mechanism of AI is being used today for the design of new drugs which are essential for the longevity. The utilization of AI with in-silico studies and education increases the ability to stop diseases with a logarithmic increase while the old-fashioned ways of chemistry will be no more in the near future. Overall, this research paper offers a comprehensive overview of AI's advancement in pharmaceutical and chemical area and sheds light on its potential future trajectories.

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